gristlabs_grist-core/sandbox/grist/summary.py
Dmitry S 534615dd50 (core) Update logging in sandbox code, and log tracebacks as single log messages.
Summary:
- Replace logger module by the standard module 'logging'.
- When a log message from the sandbox includes newlines (e.g. for tracebacks),
  keep those lines together in the Node log message.

  Previously each line was a different message, making it difficult to view
  tracebacks, particularly in prod where each line becomes a separate message
  object.

- Fix assorted lint errors.

Test Plan: Added a test for the log-line splitting and escaping logic.

Reviewers: georgegevoian

Reviewed By: georgegevoian

Differential Revision: https://phab.getgrist.com/D3956
2023-07-18 11:21:25 -04:00

427 lines
18 KiB
Python

from collections import namedtuple
import json
import logging
import six
from column import is_visible_column
import sort_specs
log = logging.getLogger(__name__)
ColInfo = namedtuple('ColInfo', ('colId', 'type', 'isFormula', 'formula',
'widgetOptions', 'label'))
def make_col_info(col=None, **values):
"""Return a ColInfo() with the given fields, optionally copying values from the given column."""
for key in ColInfo._fields:
values.setdefault(key, getattr(col, key) if col else None)
return ColInfo(**values)
def _make_sum_col_info(col):
"""Return a ColInfo() for the sum formula column for column col."""
return make_col_info(col=col, isFormula=True,
formula='SUM($group.%s)' % col.colId)
def get_colinfo_dict(col_info, with_id=False):
"""Return a dict suitable to use with AddColumn or AddTable (when with_id=True) actions."""
col_values = {k: v for k, v in six.iteritems(col_info._asdict())
if v is not None and k != 'colId'}
if with_id:
col_values['id'] = col_info.colId
return col_values
def skip_rules_update(col, col_values):
"""
Rules for summary tables can't be derived from source columns. This function
removes (and kips original) rules settings when updating summary tables.
"""
# Remove rules from updates.
col_values = {k: v for k, v in six.iteritems(col_values) if k != 'rules'}
try:
# New widgetOptions to use.
new_widgetOptions = json.loads(col_values.get('widgetOptions', ''))
except ValueError:
# If we are not updating widgetOptions (or they are
# not a valid json string, i.e. in tests), just return the original updates.
return col_values
try:
# Original widgetOptions (maybe with styling rules "ruleOptions").
widgetOptions = json.loads(col.widgetOptions or '')
except ValueError:
widgetOptions = {}
# Keep the original rulesOptions if any, and ignore any new one.
new_widgetOptions.pop("rulesOptions", "")
rulesOptions = widgetOptions.get('rulesOptions')
if rulesOptions:
new_widgetOptions['rulesOptions'] = rulesOptions
col_values['widgetOptions'] = json.dumps(new_widgetOptions)
return col_values
def _copy_widget_options(options):
"""Copies widgetOptions for a summary group-by column (omitting conditional formatting rules)"""
if not options:
return options
try:
options = json.loads(options)
except ValueError:
# widgetOptions are not always a valid json value (especially in tests)
return options
return json.dumps({k: v for k, v in options.items() if k != "rulesOptions"})
def encode_summary_table_name(source_table_id, groupby_col_ids):
"""
Create a summary table name based on the source table ID and the groupby column IDs.
"""
result = source_table_id + '_summary'
if groupby_col_ids:
result += '_' + '_'.join(sorted(groupby_col_ids))
return result
def decode_summary_table_name(summary_table_info):
"""
Extract the name of the source table from the summary table schema info.
"""
# To generate code, we need to know for each summary table, what its source table is. It would be
# easy if we had access to metadata records, but (at least for now) we generate all code based on
# schema only. So we use the type of special 'group' column in the summary table.
group_col = summary_table_info.columns.get('group')
if (
group_col
and 'getSummarySourceGroup' in group_col.formula
and group_col.type.startswith('RefList:')
):
return group_col.type[8:]
return None
def _group_colinfo(source_table):
"""Returns ColInfo() for the 'group' column that must be present in every summary table."""
return make_col_info(colId='group', type='RefList:%s' % source_table.tableId,
isFormula=True, formula='table.getSummarySourceGroup(rec)')
def _update_sort_spec(sort_spec, old_table, new_table):
"""
Replace column references in the sort spec (which is a JSON string encoding a list of column
refs, negated for descending) with references to the new table. Returns the new JSON string,
or empty string in case of a problem.
"""
old_cols_map = {c.id: c.colId for c in old_table.columns}
new_cols_map = {c.colId: c.id for c in new_table.columns}
# When adjusting, we take a possibly negated old colRef, and produce a new colRef.
# If anything is gone, we return 0, which will be excluded from the new sort spec.
def adjust(col_spec):
old_colref = sort_specs.col_ref(col_spec)
new_colref = new_cols_map.get(old_cols_map.get(old_colref), 0)
return sort_specs.swap_col_ref(col_spec, new_colref)
try:
old_sort_spec = json.loads(sort_spec)
new_sort_spec = [adjust(col_spec) for col_spec in old_sort_spec]
new_sort_spec = [col_spec for col_spec in new_sort_spec if sort_specs.col_ref(col_spec)]
return json.dumps(new_sort_spec, separators=(',', ':'))
except Exception:
log.warning("update_summary_section: can't parse sortColRefs JSON; clearing sortColRefs")
return ''
def summary_groupby_col_type(source_type):
"""
Returns the type of a groupby column in a summary table
given the type of the corresponding column in the source table.
Most types are returned unchanged.
When a source table is grouped by a list-type (RefList/ChoiceList) column
the column is 'flattened' into the corresponding non-list type
in the summary table.
"""
if source_type == 'ChoiceList':
return 'Choice'
else:
return source_type.replace('RefList:', 'Ref:')
class SummaryActions(object):
def __init__(self, useractions, docmodel):
self.useractions = useractions
self.docmodel = docmodel
def _get_or_add_columns(self, table, all_colinfo):
"""
Given a table record and a list of ColInfo objects, generates a list of corresponding column
records in the table, creating appropriate columns if they don't yet exist.
"""
prior = {c.colId: c for c in table.columns}
for ci in all_colinfo:
col = prior.get(ci.colId)
if col and col.formula == ci.formula:
yield col
else:
result = self.useractions.doAddColumn(table.tableId, ci.colId,
get_colinfo_dict(ci, with_id=False))
yield self.docmodel.columns.table.get_record(result['colRef'])
def _get_or_create_summary(self, source_table, source_groupby_columns, formula_colinfo):
"""
Finds a summary table or creates a new one, based on source_table, grouped by the columns
in groupby_colinfo, and containing formulas in formula_colinfo. Source_table should be a
Record from _grist_Tables, and other arguments should be lists of ColInfo objects.
Returns the tuple (summary_table, groupby_columns, formula_columns).
"""
key = tuple(sorted(int(c) for c in source_groupby_columns))
groupby_colinfo = [
make_col_info(
col=c,
isFormula=False,
formula='',
widgetOptions=_copy_widget_options(c.widgetOptions),
type=summary_groupby_col_type(c.type)
)
for c in source_groupby_columns
]
summary_table = next((t for t in source_table.summaryTables if t.summaryKey == key), None)
created = False
if not summary_table:
groupby_col_ids = [c.colId for c in groupby_colinfo]
result = self.useractions.doAddTable(
encode_summary_table_name(source_table.tableId, groupby_col_ids),
[get_colinfo_dict(ci, with_id=True) for ci in groupby_colinfo + formula_colinfo],
summarySourceTableRef=source_table.id,
raw_section=True)
summary_table = self.docmodel.tables.table.get_record(result['id'])
created = True
# Note that in this case, _get_or_add_columns() below should not add any new columns,
# but only return existing ones. (The table may contain extra columns, e.g. 'manualSort',
# at least in theory.)
groupby_columns = list(self._get_or_add_columns(summary_table, groupby_colinfo))
formula_columns = list(self._get_or_add_columns(summary_table, formula_colinfo))
if created:
# Set the summarySourceCol field for all the group-by columns in the table.
self.docmodel.update(groupby_columns,
summarySourceCol=[c.id for c in source_groupby_columns],
visibleCol=[c.visibleCol for c in source_groupby_columns])
for col in groupby_columns:
self.useractions.maybe_copy_display_formula(col.summarySourceCol, col)
assert summary_table.summaryKey == key
return (summary_table, groupby_columns, formula_columns)
def update_summary_section(self, view_section, source_table, source_groupby_columns):
source_groupby_colset = set(source_groupby_columns)
groupby_colids = {c.colId for c in source_groupby_columns}
# Go through columns figuring out which ones we'll keep.
prev_group_cols, formula_colinfo = [], []
for col in view_section.tableRef.columns:
srcCol = col.summarySourceCol
# Records implement __hash__, so we can look them up in sets.
if srcCol in source_groupby_colset:
prev_group_cols.append(col)
elif col.isFormula and col.colId not in groupby_colids:
formula_colinfo.append(make_col_info(col))
else:
# if user is removing a numeric column from the group by columns we must add it back as a
# sum formula column
self._append_sister_column_if_any(formula_colinfo, source_table, srcCol)
# All fields with a column that we don't keep, must be deleted
colid_keep_set = set(c.colId for c in prev_group_cols + formula_colinfo)
delete_fields = [f for f in view_section.fields if f.colRef.colId not in colid_keep_set]
have_group_col = any(ci.colId == 'group' for ci in formula_colinfo)
if not have_group_col:
formula_colinfo.append(_group_colinfo(source_table))
# Get column records for all the columns we should have in our section.
summary_table, groupby_columns, formula_columns = self._get_or_create_summary(
source_table, source_groupby_columns, formula_colinfo)
if not have_group_col:
# We've added the "group" column; now restore the lists to match what we want in fields.
formula_colinfo.pop()
formula_columns.pop()
# Remember the original table, which we need later to adjust the sort spec (sortColRefs).
orig_table = view_section.tableRef
# This line is a bit hard to explain: we unset viewSection.tableRef before updating all the
# fields, and then set it to the correct value. Note how undo will reverse the operations, and
# produce the same sequence (unset, update fields, set). Client-side code relies on this to
# avoid having to deal with inconsistent view sections while fields are being updated.
self.docmodel.update([view_section], tableRef=0)
# Delete fields no longer relevant.
self.docmodel.remove(delete_fields)
# Update fields for all formula fields and reused group-by fields to point to new columns.
colid_to_field_map = {field.colRef.colId: field for field in view_section.fields}
prev_group_fields = [
colid_to_field_map[col.colId] for col in prev_group_cols
if col.colId in colid_to_field_map
]
source_col_map = dict(zip(source_groupby_columns, groupby_columns))
prev_group_columns = [source_col_map[f.colRef.summarySourceCol] for f in prev_group_fields]
visible_formula_columns = [c for c in formula_columns if c.colId in colid_to_field_map]
formula_fields = [colid_to_field_map[c.colId] for c in visible_formula_columns]
self.docmodel.update(formula_fields + prev_group_fields,
colRef=[c.id for c in visible_formula_columns + prev_group_columns])
# Finally, we need to create fields for newly-added group-by columns. If there were missing
# fields for any group-by columns before, they'll be created now.
new_group_columns = [c for c in groupby_columns if c not in prev_group_columns]
# Insert these after the last existing group-by field.
insert_pos = prev_group_fields[-1].parentPos if prev_group_fields else None
new_group_fields = self.docmodel.insert_after(view_section.fields, insert_pos,
colRef=[c.id for c in new_group_columns])
# Reorder the group-by fields if needed, to match the order requested.
group_col_to_field = {f.colRef: f for f in prev_group_fields + new_group_fields}
group_fields = [group_col_to_field[c] for c in groupby_columns]
group_positions = [field.parentPos for field in group_fields]
sorted_positions = sorted(group_positions)
if sorted_positions != group_positions:
self.docmodel.update(group_fields, parentPos=sorted_positions)
update_args = {}
if view_section.sortColRefs:
# Fix the sortSpec to refer to the new columns.
update_args['sortColRefs'] = _update_sort_spec(
view_section.sortColRefs, orig_table, summary_table)
# Finally update the section to point to the new table.
self.docmodel.update([view_section], tableRef=summary_table.id, **update_args)
def _find_sister_column(self, source_table, col_id):
"""Returns a summary formula column for source_table with the given col_id, or None."""
for t in source_table.summaryTables:
c = self.docmodel.columns.lookupOne(parentId=t.id, colId=col_id, isFormula=True)
if c:
return c
return None
def _append_sister_column_if_any(self, all_colinfo, source_table, col):
"""
Appends a col info for one sister column of col (in source_table) if it finds one, else, and if
col is of numeric type appends the col info for the sum col, else do nothing.
"""
c = self._find_sister_column(source_table, col.colId)
if c:
all_colinfo.append(make_col_info(col=c))
elif col.type in ('Int', 'Numeric'):
all_colinfo.append(_make_sum_col_info(col))
def _create_summary_colinfo(self, source_table, source_groupby_columns):
"""Come up automatically with a list of columns to include into a summary table."""
# Column 'group' defines the group of records that map to this summary line.
all_colinfo = [_group_colinfo(source_table)]
# For every column in the source data, if there is a same-named formula column in another
# summary table, use it here; otherwise if it's a numerical column, automatically add a
# same-named column with the sum of the values in the group.
groupby_col_ids = {c.colId for c in source_groupby_columns}
for col in source_table.columns:
if col.colId in groupby_col_ids or col.colId == 'group' or not is_visible_column(col.colId):
continue
self._append_sister_column_if_any(all_colinfo, source_table, col)
# Add a default 'count' column for the number of records in the group, unless a different
# 'count' was already added (which we would then prefer as presumably more useful). We add the
# default 'count' right after 'group', to make it the first of the visible formula columns.
if not any(c.colId == 'count' for c in all_colinfo):
all_colinfo.insert(1, make_col_info(colId='count', type='Int',
isFormula=True, formula='len($group)'))
return all_colinfo
def create_new_summary_section(self, source_table, source_groupby_columns, view, section_type):
formula_colinfo = list(self._create_summary_colinfo(source_table, source_groupby_columns))
summary_table, groupby_columns, formula_columns = self._get_or_create_summary(
source_table, source_groupby_columns, formula_colinfo)
section = self.docmodel.add(view.viewSections, tableRef=summary_table.id,
parentKey=section_type)[0]
self.docmodel.add(section.fields,
colRef=[c.id for c in groupby_columns + formula_columns
if c.colId != "group"])
return section
def detach_summary_section(self, view_section):
"""
Create a real table equivalent to the given summary section, and update the section to show
the new table instead of the summary.
"""
source_table_id = view_section.tableRef.summarySourceTable.tableId
# Get a list of columns that we need for the new table.
fields = view_section.fields
field_col_recs = [f.colRef for f in fields]
# Prepare the column info for each column.
col_info = [make_col_info(col=c) for c in field_col_recs if c.colId != 'group']
# Prepare the 'group' column, which is that one column that's different from the original.
group_args = ', '.join(
'%s=%s' % (
c.summarySourceCol.colId,
(
'CONTAINS($%s, match_empty="")' if c.summarySourceCol.type == 'ChoiceList' else
'CONTAINS($%s, match_empty=0)' if c.summarySourceCol.type.startswith('Reflist') else
'$%s'
) % c.colId,
)
for c in field_col_recs if c.summarySourceCol
)
col_info.append(make_col_info(colId='group', type='RefList:%s' % source_table_id,
isFormula=True,
formula='%s.lookupRecords(%s)' % (source_table_id, group_args)))
# Create the new table.
res = self.useractions.AddTable(None, [get_colinfo_dict(ci, with_id=True) for ci in col_info])
new_table = self.docmodel.tables.table.get_record(res["id"])
# Remember the original table, which we need later e.g. to adjust the sort spec (sortColRefs).
orig_table = view_section.tableRef
# Populate the new table.
old_data = self.useractions._engine.fetch_table(orig_table.tableId, formulas=False)
self.useractions.ReplaceTableData(new_table.tableId, old_data.row_ids, old_data.columns)
# Unset viewSection.tableRef before updating the fields, to avoid having inconsistencies. (See
# longer explanation in update_summary_section().)
self.docmodel.update([view_section], tableRef=0)
# Update all fields to point to new columns.
new_col_dict = {c.colId: c.id for c in new_table.columns}
self.docmodel.update(fields, colRef=[new_col_dict[c.colId] for c in field_col_recs])
# If the section is sorted, fix the sortSpec to refer to the new columns.
update_args = {}
if view_section.sortColRefs:
update_args['sortColRefs'] = _update_sort_spec(
view_section.sortColRefs, orig_table, new_table)
# Update the section to point to the new table.
self.docmodel.update([view_section], tableRef=new_table.id, **update_args)